文章摘要
张宏伟,于海生,庞丽萍,王金鹤.二阶随机占优约束优化问题的遗传算法求解[J].,2016,56(3):299-303
二阶随机占优约束优化问题的遗传算法求解
Solution to constrained optimization problem of second-order stochastic dominance by genetic algorithm
  
DOI:10.7511/dllgxb201603012
中文关键词: 二阶随机占优  遗传算法  投资组合优化
英文关键词: second-order stochastic dominance  genetic algorithm  portfolio optimization
基金项目:国家自然科学基金资助项目(1117104931271077).
作者单位
张宏伟,于海生,庞丽萍,王金鹤  
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中文摘要:
      随机占优是经济学和决策论中的基本概念,在投资组合优化中得到了广泛的应用.遗传算法无须求解目标函数和约束函数的次微分,也不用满足Slater约束规范,解决了约束的半无限性和非光滑性等问题.两个算例表明,遗传算法能很好地解决投资组合优化问题,并且效率得到了很大提高.
英文摘要:
      Stochastic dominance is fundamental concept in economics and decision-making theory, and is widely applied to portfolio optimization in recent years. Genetic algorithm has the advantages, which doesn′t need to solve the subdifferential of object function and constrained function or to satisfy Slater constrained rules, so it can solve the constrained semi-infinite and non-smooth problem. Two examples show that the genetic algorithm can well solve the portfolio optimization problem and the efficiency is greatly improved.
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